Equity Quantitative Researcher Location: Dubai, London I am currently working on an exciting role with a Hedge fund with >£5bln/AUM. The role has a focus on equities in the mid-frequency range. The selected candidate will have the opportunity to quickly progress to a sub-PM role taking control of some of the book. The PM has been in the role for several years and has a proven track record spanning over 8 years. The job offers an opportunity for applicants to work closely with an experienced PM, quickly progress their career and give them the chance to work in a strong collaborative team. Key Responsibilities: Develop, test, and implement quantitative models aimed at generating alpha in equity markets. Research and identify new trading signals and strategies using large data sets, machine learning, and statistical analysis. Perform in-depth back-testing and stress-testing to ensure the robustness of the models. Collaborate closely with the PM to develop alpha signals and execute in the market. Continuously monitor and refine existing strategies, identifying areas for improvement and risk mitigation. Stay up-to-date with the latest developments in quantitative finance, data science, and market trends to drive innovation. Requirements: Advanced degree (Master's or Ph.D.) in a quantitative discipline such as Mathematics, Statistics, Physics, Engineering, Computer Science, or a related field. Proven experience in developing and deploying quantitative trading strategies, preferably within equity markets. Strong programming skills in Python, R for algo development and data analysis. Experience with machine learning, statistical modelling, and signal generation. Experience working with large data sets, databases, and time series data. Familiarity with portfolio construction, risk management, and performance attribution is a plus.